Works (6)

Updated: July 5th, 2023 15:44

2019 journal article

Fast computation of global solutions to the single-period unit commitment problem

Journal of Combinatorial Optimization, 44(3), 1511–1536.

By: C. Lu*, Z. Deng*, S. Fang n, Q. Jin* & W. Xing*

author keywords: Mixed-integer pogramming; Quadratic programming; Branch-and-bound algorithm
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, Crossref
Added: December 16, 2019

2014 journal article

QUADRATIC OPTIMIZATION OVER ONE FIRST-ORDER CONE

JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 10(3), 945–963.

By: X. Guo, Z. Deng*, S. Fang* & W. Xing

author keywords: Quadratic programming; cone of nonnegative quadratic forms; first-order cone; linear conic programming; adaptive scheme
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

A branch-and-cut approach to portfolio selection with marginal risk control in a linear conic programming framework

JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING, 22(4), 385–400.

By: Z. Deng*, Y. Bai*, S. Fang n, Y. Tian* & W. Xing*

author keywords: Portfolio selection; linear conic programming; branch-and-cut
TL;DR: This paper investigates the portfolio selection problem with direct marginal risk control in a linear conic programming framework with semidefinite programming (SDP) relaxation problems over some subrectangles and proposes an adaptive branch-and-cut rule to speed up the computation. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 conference paper

Comparison of an ℓ1-regression-based and a RANSAC-based planar segmentation procedure for urban terrain data with many outliers

In L. Bruzzone (Ed.), Image and Signal Processing for Remote Sensing XIX (p. 889209).

By: J. Luo n, Z. Deng n, D. Bulatov*, J. Lavery n & S. Fang n

Ed(s): L. Bruzzone

Event: SPIE Remote Sensing at Dresden, Germany on September 23-26, 2013

author keywords: DBSCAN; fuzzy c-means; l(1) regression; outlier-rich; planar; RANSAC; segmentation; urban terrain
TL;DR: The complete building reconstruction procedure into which the ℓ1-regression-based and RANSAC-based segmentation procedures will be integrated in the future is outlined. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries, Crossref
Added: August 6, 2018

2013 journal article

Computable representation of the cone of nonnegative quadratic forms over a general second-order cone and its application to completely positive programming

Journal of Industrial and Management Optimization, 9(3), 703–721.

By: Y. Tian, S. Fang, Z. Deng & W. Xing

Source: NC State University Libraries
Added: August 6, 2018

2013 journal article

Detecting copositivity of a symmetric matrix by an adaptive ellipsoid-based approximation scheme

European Journal of Operational Research, 229(1), 21–28.

By: Z. Deng n, S. Fang n, Q. Jin* & W. Xing*

author keywords: Conic programming; Copositive; Cone of nonnegative quadratic functions; Adaptive approximation scheme
TL;DR: This decision problem is transformed into a quadratic programming problem, which can be approximated by solving a sequence of linear conic programming problems defined on the dual cone of the cone of nonnegative quadRatic functions over the union of a collection of ellipsoids. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries, Crossref
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.